Elizaveta Rebrova

About Elizaveta Rebrova

Elizaveta Rebrova, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at University of California, Los Angeles, specializes in the field of high-dimensional probability, randomized algorithms, matrix and tensor methods.

His recent articles reflect a diverse array of research interests and contributions to the field:

Sharp analysis of sketch-and-project methods via a connection to randomized singular value decomposition

Stochastic gradient descent for streaming linear and rectified linear systems with Massart noise

On Subsampled Quantile Randomized Kaczmarz

A subspace constrained randomized Kaczmarz method for structure or external knowledge exploitation

Modewise operators, the tensor restricted isometry property, and low-rank tensor recovery

Fast and Low-Memory Compressive Sensing Algorithms for Low Tucker-Rank Tensor Approximation from Streamed Measurements

On Graph Uncertainty Principle and Eigenvector Delocalization

On block accelerations of quantile randomized Kaczmarz for corrupted systems of linear equations

Elizaveta Rebrova Information

University

Position

___

Citations(all)

285

Citations(since 2020)

263

Cited By

107

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Elizaveta Rebrova Skills & Research Interests

high-dimensional probability

randomized algorithms

matrix and tensor methods

Top articles of Elizaveta Rebrova

Sharp analysis of sketch-and-project methods via a connection to randomized singular value decomposition

SIAM Journal on Mathematics of Data Science

2024/3/31

Michał Dereziński
Michał Dereziński

H-Index: 9

Elizaveta Rebrova
Elizaveta Rebrova

H-Index: 6

Stochastic gradient descent for streaming linear and rectified linear systems with Massart noise

arXiv preprint arXiv:2403.01204

2024/3/2

Elizaveta Rebrova
Elizaveta Rebrova

H-Index: 6

On Subsampled Quantile Randomized Kaczmarz

2023/9/26

Jamie Haddock
Jamie Haddock

H-Index: 5

Elizaveta Rebrova
Elizaveta Rebrova

H-Index: 6

A subspace constrained randomized Kaczmarz method for structure or external knowledge exploitation

arXiv preprint arXiv:2309.04889

2023/9/9

Elizaveta Rebrova
Elizaveta Rebrova

H-Index: 6

Modewise operators, the tensor restricted isometry property, and low-rank tensor recovery

Applied and Computational Harmonic Analysis

2023/9/1

Michael Perlmutter
Michael Perlmutter

H-Index: 4

Elizaveta Rebrova
Elizaveta Rebrova

H-Index: 6

Fast and Low-Memory Compressive Sensing Algorithms for Low Tucker-Rank Tensor Approximation from Streamed Measurements

arXiv preprint arXiv:2308.13709

2023/8/25

Elizaveta Rebrova
Elizaveta Rebrova

H-Index: 6

On Graph Uncertainty Principle and Eigenvector Delocalization

2023/7/10

Elizaveta Rebrova
Elizaveta Rebrova

H-Index: 6

On block accelerations of quantile randomized Kaczmarz for corrupted systems of linear equations

Inverse Problems

2022/12/21

Lu Cheng
Lu Cheng

H-Index: 13

Elizaveta Rebrova
Elizaveta Rebrova

H-Index: 6

Quantile-based iterative methods for corrupted systems of linear equations

SIAM Journal on Matrix Analysis and Applications

2022

Jamie Haddock
Jamie Haddock

H-Index: 5

Elizaveta Rebrova
Elizaveta Rebrova

H-Index: 6

FunFact v0. 6

2021/7/1

Elizaveta Rebrova
Elizaveta Rebrova

H-Index: 6

On a guided nonnegative matrix factorization

2021/6/6

Nonlinear Matrix Approximation with Radial Basis Function Components

arXiv preprint arXiv:2106.02018

2021/6/3

Elizaveta Rebrova
Elizaveta Rebrova

H-Index: 6

Analysis of Legal Documents via Non-negative Matrix Factorization Methods

arXiv preprint arXiv:2104.14028

2021/4/28

On block Gaussian sketching for the Kaczmarz method

Numerical Algorithms

2021/1

Elizaveta Rebrova
Elizaveta Rebrova

H-Index: 6

Lower memory oblivious (tensor) subspace embeddings with fewer random bits: modewise methods for least squares

SIAM Journal on Matrix Analysis and Applications

2021

Elizaveta Rebrova
Elizaveta Rebrova

H-Index: 6

Ali Zare
Ali Zare

H-Index: 1

Sparseness-constrained Nonnegative Tensor Factorization for Detecting Topics at Different Time Scales

arXiv preprint arXiv:2010.01600

2020/10/4

COVID-19 literature topic-based search via hierarchical NMF

arXiv preprint arXiv:2009.09074

2020/9/7

Constructive regularization of the random matrix norm

Journal of Theoretical Probability

2020/9

Elizaveta Rebrova
Elizaveta Rebrova

H-Index: 6

A parallel hierarchical blocked adaptive cross approximation algorithm

The International Journal of High Performance Computing Applications

2020/7

Yang Liu
Yang Liu

H-Index: 18

Elizaveta Rebrova
Elizaveta Rebrova

H-Index: 6

Scalable and memory-efficient kernel ridge regression

2020/5/18

Yang Liu
Yang Liu

H-Index: 18

Elizaveta Rebrova
Elizaveta Rebrova

H-Index: 6

See List of Professors in Elizaveta Rebrova University(University of California, Los Angeles)

Co-Authors

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